Students are exposed to the range of theoretical perspectives including biological, evolutionary, cognitive, and...This course introduces students to the principles of computation. Ideal for those who want to program anything.

MIT 5.111 Principles of Chemical Science, Fall 2008 This course covers introductory computer science methods and topics. The course also covers applications of basic principles to problems in...What do one mathematician, one artist, and one musician all have in common?

MIT 18.02 Multivariable Calculus, Fall 2007 Ordinary differential equations (ODE's) deal with functions of one variable, which can often be thought of as time. View the complete course: http://ocw.mit.edu/6-01SCS11View the complete course: http://ocw.mit.edu/15-401F08 Instructor: Andrew Lo The collection includes videos that cover the class lectures on finance theory as well as a course summary at the end. The students will have the unique opportunity to use the cutting-edge PLAYSTATION 3 development platform as they learn how to design and...Instructor: Prof. David Forney This course is the second of a two-term sequence with 6.450. View the complete course: http://ocw.mit.edu/18-03SCF11 License: Creative Commons BY-NC-SA More information at...Instructor: Dennis Freeman, Kendra Pugh This course provides an integrated introduction to electrical engineering and computer science, including modern software engineering, linear systems analysis, electronic circuits, and decision-making. MIT 6.00SC Introduction to Computer Science and Programming, Spring 2011 MIT 6.189 Multicore Programming Primer, January (IAP) 2007 Six Sigma is a quality system developed at Motorola which focuses on elimination of variation from all processes. For example: The concept of statistical significance (to be touched upon at the end of this course) is considered by the Financial Times as one of "The Ten Things Everyone Should Know About Science". My answers for the assignments in MIT OCW 6.0001: Introduction to Computer Science and Programming in Python 15 stars 10 forks Star Watch Code; Issues 0; Pull requests 0; Actions; Projects 0; Security; Insights; Dismiss Join GitHub today.

It continues with binary...View the complete course at: http://ocw.mit.edu/res-18-006f10 Resource Description: Calculus Revisited is a series of videos and related resources that covers the materials normally found in a freshman-level introductory calculus course. It also aims to help students, regardless of their major, to feel justifiably confident of their ability to write small programs that allow them to accomplish useful goals.

MIT 18.06 Linear Algebra, Spring 2005 Topical coverage of organic chemistry, solution chemistry, acid-base...The MIT Biology Department core courses, 7.012, 7.013, and 7.014, all cover the same core material, which includes the fundamental principles of biochemistry, genetics, molecular biology, and cell biology. "Structure and Interpretation of Computer Programs has been MIT's introductory pre-professional computer science subject since 1981.

It emphasizes mathematical definitions and proofs as well as applicable methods.

The focus is on coding techniques for approaching the Shannon limit of additive white Gaussian noise (AWGN) channels, their performance analysis, and design principles. Mathematical definitions and proofs are emphasized. License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms...Instructor: Professor John Guttag Collection of 26 lectures given during the Spring 2011 semester of 6.00, Introduction to Computer Science and Programming. MIT 15.401 Finance Theory I, Fall 2008 You...The course serves as an introduction to the theory and practice behind many of today's communications systems. Topics include unconstrained and constrained optimization, linear and quadratic programming, Lagrange and conic duality theory, interior-point algorithms and theory, Lagrangian relaxation, generalized programming, and semi-definite programming.

See MPEG filenames for lecture numbers.This course covers vector and multi-variable calculus. MIT 6.172 Performance Engineering of Software Systems, Fall 2010 MIT 2.003J Dynamics and Control I, Fall 2007

About the Instructor: Herb Gross has taught math as senior lecturer at MIT and was...View the complete course: http://ocw.mit.edu/5-112F05 Instructors: Christopher Cummins, Sylvia Ceyer 5.112 is an introductory chemistry course for students with an unusually strong background in chemistry. Emphasis is on basic principles of atomic and molecular electronic structure, thermodynamics, acid-base and redox equilibria, chemical kinetics, and catalysis. MIT 6.041 Probabilistic Systems Analysis and Applied Probability, Fall 2010

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